Statistics and Probability
5.0
(2)
32 learners
What you'll learn
- Analyze and apply key concepts from course materials
- Design and implement practical solutions using learned techniques
- Evaluate case studies to derive actionable insights
- Synthesize information to create a comprehensive project plan
This course includes
- 8.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 33 lessons • 8.5 hours of video
Statistics and Probability
33 lessons
• 8.5 hours
Statistics and Probability
33 lessons
• 8.5 hours
- Statistics And Probability | Overview Of Random Variable & Probability Distribution 08:00
- Random Variable, Probability Mass Function, Distribution Function 18:38
- Random Variable, Probability Density Function, Cumulative Distribution Function 21:22
- Mathematical Expectation, Variance Of Continuous & Discrete Random Variable 12:48
- Binomial Distribution | Mean & Variance | Moment Generating Function 16:34
- Binomial Distribution | Fitting of Binomial Distribution | Examples 14:05
- Poisson Distribution | Proof Binomial Tends to Poisson Distribution 10:34
- Poisson Distribution | Mean & Variance | Moment Generating Function 13:01
- Poisson Distribution | Poisson Distribution Examples with Solutions 10:43
- Poisson Distribution | Fitting of Poisson Distribution | Example 07:40
- Exponential Distribution | Mean & Variance | Moment Generating Function 09:41
- Normal Distribution | Mean and Variance of Normal Distribution 12:00
- Normal Distribution | Moment Generating Function | Mean & Variance By MGF 15:20
- Uniform Distribution | Rectangular Distribution | Mean & Variance | Moment Generating Function 10:48
- Correlation Coefficient | Correlation Coefficient Example | Statistics 22:03
- Rank Correlation | Rank Correlation Coefficient | Spearman Rank Correlation 16:28
- Rank Correlation | Repeated Rank Correlation | Spearman Rank Correlation 09:26
- Regression Analysis, Regression Coefficient, Linear Regression Part-I 24:57
- Regression Analysis, Regression Coefficient, Linear Regression Part-II 19:19
- Regression Analysis, Angle Between Two Regression Lines, Proof 14:55
- Joint Probability Distribution , Joint PMF, Marginal PMF, Bivariate RV 20:45
- Joint Probability Distribution , Joint PMF, Marginal PMF, Statistical Independence 16:15
- Skewness & Kurtosis | Moments | Leptokurtic, Mesokurtic, Platykurtic 17:37
- Skewness & Kurtosis | Moments | Leptokurtic, Mesokurtic, Platykurtic | Examples 19:32
- Normal Distribution | Normal Distribution Table & Area Under Curve | Examples 20:50
- Normal Distribution | Normal Distribution Table & Area Under Curve | Examples Part-II 19:55
- Job Scheduling | n-Jobs, 2-Machine | Johnson Algorithm 26:47
- Time Series Analysis | Component Of Time Series | Moving Average Method Of Time Series 13:53
- Least Square Method | Curve Fitting Straight Line & Second Degree Parabola | Time Series by GP Sir 27:29
- Seasonal Variation | Simple Average | Time Series by GP Sir 10:45
- Ratio To Moving Average Method | Seasonal Variation | Time Series by GP Sir 11:28
- Time Series | Ratio To Trend Method | Seasonal Variation | Time Series by GP Sir 10:40
- Time Series | Link Relative Method | Seasonal Variation | Time Series by GP Sir 10:09
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